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EnsureChannelFirst: avoid re-creation of AddChannel #3649

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Merged
merged 3 commits into from
Jan 12, 2022
Merged

EnsureChannelFirst: avoid re-creation of AddChannel #3649

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a555e95
avoid re-creation of objects
rijobro Jan 12, 2022
f048944
AsChannelFirst needs to be created during __call__
rijobro Jan 12, 2022
00004b2
Merge branch 'dev' into ensure_channel_first_avoid_object_recreation
wyli Jan 12, 2022
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3 changes: 2 additions & 1 deletion monai/inferers/inferer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -30,7 +30,8 @@ class Inferer(ABC):
Example code::

device = torch.device("cuda:0")
data = ToTensor()(LoadImage()(filename=img_path)).to(device)
transform = Compose([ToTensor(), LoadImage(image_only=True)])
data = transform(img_path).to(device)
model = UNet(...).to(device)
inferer = SlidingWindowInferer(...)

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3 changes: 2 additions & 1 deletion monai/transforms/utility/array.py
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Expand Up @@ -202,6 +202,7 @@ def __init__(self, strict_check: bool = True):
strict_check: whether to raise an error when the meta information is insufficient.
"""
self.strict_check = strict_check
self.add_channel = AddChannel()

def __call__(self, img: NdarrayOrTensor, meta_dict: Optional[Mapping] = None) -> NdarrayOrTensor:
"""
Expand All @@ -223,7 +224,7 @@ def __call__(self, img: NdarrayOrTensor, meta_dict: Optional[Mapping] = None) ->
warnings.warn(msg)
return img
if channel_dim == "no_channel":
return AddChannel()(img)
return self.add_channel(img)
return AsChannelFirst(channel_dim=channel_dim)(img)


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